[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: plot_bloch_vector (and others) no longer directly importable from qiskit.tools.visualization <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Informations - **Qiskit Terra version**: 0.5.7 - **Python version**: 3.6.5 - **Operating system**: Windows 7 ### What is the current behavior? The command **from qiskit.tools.visualization import plot_bloch_vector** no longer works now that this function is defined in the file _state_visualization.py in the visualization folder, rather than in the file visualization.py. Perhaps this is intentional, but in that case then the file qiskit/python/quantum_phase_bloch.py in the repository ibmqx-user-guides should be updated accordingly. ### Steps to reproduce the problem 1. Start python 2. Run **from qiskit.tools.visualization import plot_bloch_vector** 3. Observe error message ### What is the expected behavior? 1. I expect it to import the function and not give an error message. ### Suggested solutions 1. Add ", plot_bloch_vector" (and possibly other functions) to the end of line 12 in qiskit.tools.visualization.\_\_init\_\_.py. 2. Alternatively, change line 5 of qiskit/python/quantum_phase_bloch.py in the ibmqx-user-guides repository to read "from qiskit.tools.visualization._state_visualization import plot_bloch_vector" Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Please provide an 'uninstall' target Lacking an 'uninstall' target can be a real show stopper for projects to even consider moving from autotools to meson. New users (potential contributors) are trying out software projects all the time and need ways to undo installation (just google for 'make uninstall' to get a glimpse). Furthermore software development/debugging and packaging, working on package versioning, fixing installation locations, testing libraries, testing translations, etc can all involve needing 'uninstall' almost as often as installation. So please make uninstall as easy as installation for software built with meson. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: Small error in documentation / Typo The documentation for BART decoder layer mentions that it expects hidden states as well as the encoder hidden states to be expected in "(seq_len, batch, embed_dim)" instead of the "(batch, seq_len, embed_dim)" that is actually is expected. Lead to a bit of confusion so would be great if it were corrected! :) Relevant lines: https://github.com/huggingface/transformers/blob/996a315e76f6c972c854990e6114226a91bc0a90/src/transformers/models/bart/modeling_bart.py#L373 https://github.com/huggingface/transformers/blob/996a315e76f6c972c854990e6114226a91bc0a90/src/transformers/models/bart/modeling_bart.py#L376 @patrickvonplaten Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Storage document upload policy snippet Storage [snippet for generate_upload_policy](https://googlecloudplatform.github.io/google-cloud-python/stable/storage-buckets.html#google.cloud.storage.bucket.Bucket.generate_upload_policy) seems to be broken. I looked at [the docs](https://cloud.google.com/storage/docs/xml-api/post-object#policydocument) but I don't see where the breakdown is. Here's the output when trying to upload with the generated HTML form. ```xml <Error> <Code>InvalidArgument</Code> <Message>Invalid argument.</Message> <Details>Cannot create buckets using a POST.</Details> </Error> ``` ```python bucket = client.bucket('my-bucket24356uytrew') conditions = [ ['starts-with', '$key', ''], {'acl': 'public-read'}] policy = bucket.generate_upload_policy(conditions) # Generate an upload form using the form fields. policy_fields = ''.join( '<input type="hidden" name="{key}" value="{value}">'.format( key=key, value=value) for key, value in policy.items() ) upload_form = ( '<form action="http://{bucket_name}.storage.googleapis.com"' ' method="post" enctype="multipart/form-data">' '<input type="text" name="key" value="">' '<input type="hidden" name="bucket" value="{bucket_name}">' '<input type="hidden" name="acl" value="public-read">' '<input name="file" type="file">' '<input type="submit" value="Upload">' '{policy_fields}' '<form>').format(bucket_name=bucket.name, policy_fields=policy_fields) print(upload_form) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Allow providing config to @graph_asset decorator ### What's the use case? `@graph_asset` (added in https://github.com/dagster-io/dagster/pull/10152) is missing the `config` attribute that allows one to pass/define config for Ops that are part of the graph/graph backed Asset. The `@graph` annotation does support this https://github.com/dagster-io/dagster/blob/fe8ed527ee9c4acae0568a6c3466346be544973f/python_modules/dagster/dagster/_core/definitions/decorators/graph_decorator.py#L135 as does the `GraphDefinition` class https://github.com/dagster-io/dagster/blob/fe8ed527ee9c4acae0568a6c3466346be544973f/python_modules/dagster/dagster/_core/definitions/graph_definition.py#L205 so I'd expect that the `@graph_asset` should also be able to take a `config` argument and pass this on to the graph it creates for the Asset. ### Ideas of implementation _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Proposal: Paused should subclass Scheduled Right now, a `Paused` state is a subclass of `Pending`. This means that when running a flow locally with a `manual_only` trigger, the flow loops indefinitely. Ideally the "pausing" would occur in a visible way. Moreover, I can imagine a use case of [task pausing](https://docs.prefect.io/api/unreleased/utilities/tasks.html#prefect-utilities-tasks-pause-task) that actually pauses for a pre-specified amount of time as a fail-safe. Both of these things combined make me think we could let `Paused` be a subclass of `Scheduled`, and a `manual_only` trigger sets a scheduled start time of 10 years in the future (or something to that effect). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Alias mpl nbagg Talking to @danielballan today he pointed out that nbagg, while accurate and making lots of sense to mpl developers, is not the clearest our most user friendly name. Would it make sense to provide an alias in the mpl related ipython magic to a more suitable name? Would it be possible to get that alias in for 3.0 at this late date? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: add argument to delete_dataset for deleteContents parameter The [delete verb for datasets](https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/delete) has a `deleteContents` parameter. > If True, delete all the tables in the dataset. If False and the dataset contains tables, the request will fail. Default is False We do not currently expose this parameter in [delete_dataset()](https://googlecloudplatform.github.io/google-cloud-python/latest/bigquery/reference.html#google.cloud.bigquery.client.Client.delete_dataset). I could see this parameter being very handy in integration and snippets tests, where we want to delete a dataset and all the tables we have created. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conda/conda codebase. Here's the problem: Implement .jlap incremental repodata ### Checklist - [X] I added a descriptive title - [X] I searched open requests and couldn't find a duplicate ### What is the idea? Implement jlap repodata to reduce bandwidth fetching repodata.json ### What should happen? The conda HTTP cache needs to be replaced. We want to have a per-user cache that better understands http caching rules, and transparently applies diffs when available. This cache may be compatible with mamba. The pickled solver data might remain per-environment. ```[tasklist] - [ ] https://github.com/conda/conda/pull/12003 - [ ] https://github.com/conda-incubator/ceps/pull/20 - [ ] https://github.com/conda/conda/pull/11447 - [ ] https://github.com/conda/conda/pull/11914 - [ ] https://github.com/conda/conda/pull/12090 - [ ] write unit tests / code coverage tests for branch - [ ] asv benchmarks? - [ ] Write test asserting "304 not modified" adds 30 seconds to the local cache validity (avoids checking again for 30s) instead of checking every time after the cache expires once - [ ] locking: never write cached repodata.json without rewriting cache headers at the same time, while a lock is held. Necessary for jlap only, but wouldn't hurt to have correct locking always. - [ ] Audit for XXX TODO markers - [ ] Trace through the code to double-chechk "equivalent when jlap is not enabled" behavior ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: Stop warning about ".yaml" file extension. Currently compose outputs a warning when using extensions other than `.yml` for the config file: ``` WARNING: Please be aware that .yml is the expected extension in most cases, and using .yaml can cause compatibility issues in future. ``` However, the creators of YAML request that we use `.yaml` when possible. [[1]](http://www.yaml.org/faq.html) Additionally, I don't think it's fruitful to warn users about this particular "compatibility issue"; things like which character is used for `\n` in text files or using uppercase or non-ASCII characters in file names can also be "compatibility issues" when multiple platforms are involved, yet most programs don't force a user of a particular platform to use a convention which is compatible with other platforms. Just my two cents. If the devs agree that this can/should be removed, I'll make a PR. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: fig ps fails hellou I use fig (v0.5.2) to build my docker images on a jenkins server. my script builds all images, which looks like this: echo ----- BUILD fig up -d echo ----- DONE fig ps however the `fig ps`call just fails: ``` stty: standard input: Inappropriate ioctl for device Traceback (most recent call last): File "<string>", line 3, in <module> File "/code/build/fig/out00-PYZ.pyz/fig.cli.main", line 30, in main File "/code/build/fig/out00-PYZ.pyz/fig.cli.docopt_command", line 21, in sys_dispatch File "/code/build/fig/out00-PYZ.pyz/fig.cli.command", line 31, in dispatch File "/code/build/fig/out00-PYZ.pyz/fig.cli.docopt_command", line 24, in dispatch File "/code/build/fig/out00-PYZ.pyz/fig.cli.command", line 50, in perform_command File "/code/build/fig/out00-PYZ.pyz/fig.cli.docopt_command", line 27, in perform_command File "/code/build/fig/out00-PYZ.pyz/fig.cli.main", line 178, in ps File "/code/build/fig/out00-PYZ.pyz/fig.cli.formatter", line 9, in table ValueError: need more than 0 values to unpack ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [question] How to configure XcodeDeps to silence warnings from dependencies? ### What is your question? We're using Xcode and boost is among our dependencies. However, boost causes a lot of warnings (and with Werror fails to build) and thus we're only able to use boost by specifying the header search paths via `-isystem` which in an xcconfig file needs to be added to `OTHER_CPLUSPLUSFLAGS`. So I'd like to use the `XcodeDeps` generator, but instead of putting the include paths to `HEADER_SEARCH_PATHS`, I need them to be added to `OTHER_CPLUSPLUSFLAGS` via `-isystem path/to/include`. How can I achieve that? Is there maybe an option for that or do I need to write my own `XcodeDepsNoWarnings` that does that? Any suggestion is appreciated. ### Have you read the CONTRIBUTING guide? - [X] I've read the CONTRIBUTING guide Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Qtconsole tooltip is too wide when the function has many arguments Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Clean up handling of JupyterLab user config data cf https://github.com/jupyterlab/jupyterlab/pull/1397#issuecomment-268013536 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Add support for ReduceLROnPlateau **Is your feature request related to a problem? Please describe.** As of now it does not seem like it is possible to use ReduceLROnPlateau as a metric has to be passed to the step method of the lr_scheduler. **Describe the solution you'd like** A possibility to use ReduceLROnPlateau on some or any of the metrics calculated during training or validation. **Describe alternatives you've considered** In my use case I want to do the step based on a metric calculated on the validation set. As a workaround I define the lr_scheduler in the __init__ of the model and perform the step in the validation_end function Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Docs link is outdated on PyPI https://github.com/numpy/numpy/blob/1d598997543637b9882d1663117b573210a20583/setup.py#L439 I assume we should be using a `numpy.org` link here, possibly derived from the version number? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Save checkpoint on Ctrl+C I understand that pl handles cli ctrl+c with graceful degradation. I also see the ability to save checkpoints which is triggered by metrics queries. Is there is an idiomatic way to have pl save a checkpoint when I ctrl+c? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: AIP-44 Migrate DagFileProcessorManager._deactivate_stale_dags to Internal API Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Disable conan checking compiler comes after compiler if statement in conanbuildinfo In the conanbuildinfo.cmake file created in the build folder, the function `conan_check_compiler` the check for `CONAN_DISABLE_CHECK_COMPILER `comes after a check for `if(NOT DEFINED CMAKE_CXX_COMPILER_ID)` as shown in this extract: ``` cmake function(conan_check_compiler) if(NOT DEFINED CMAKE_CXX_COMPILER_ID) if(DEFINED CMAKE_C_COMPILER_ID) message(STATUS "This project seems to be plain C, using '${CMAKE_C_COMPILER_ID}' compiler") set(CMAKE_CXX_COMPILER_ID ${CMAKE_C_COMPILER_ID}) set(CMAKE_CXX_COMPILER_VERSION ${CMAKE_C_COMPILER_VERSION}) else() message(FATAL_ERROR "This project seems to be plain C, but no compiler defined") endif() endif() if(CONAN_DISABLE_CHECK_COMPILER) message(STATUS "WARN: Disabled conan compiler checks") return() endif() ... ``` In CMake setting `project(myproj LANGUAGE NONE)` results in this evaluating to FATAL_ERROR regardless if `CONAN_DISABLE_CHECK_COMPILER` is defined or not. Is there something I'm overlooking or is it a bug? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Improve Design of DataModule ## 🚀 Feature <!-- A clear and concise description of the feature proposal --> ### Motivation Since the introduction of datamodules we have duplicated code. For example, the train/val/test_dataloader methods in LightningModule and DataModule have the same name, same docs, same signature but live in two files. Also the argparse methods are copy pasted from Trainer, it will become impossible to maintain this in the future. ### Pitch Factor out the hook definitions: ```python class DataHooks: def prepare_data(...): """ docs... """ def setup(...): """ docs... """ def train_dataloader(...): """ docs... """ etc. ``` and then in the other classes, inherit from it: ```python class LightningModule(..., ModelHooks, DataHooks, ...) ... class DataModule(..., DataHooks, ...) ... ``` **Note also:** - we even have duplicated tests ### Alternatives I see no alternatives. This is the best way I know. @PyTorchLightning/core-contributors makes sense? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: np.histogram gives confusing error message when NaN is encountered If one tries to do `np.histogram([1,2,3,4,np.nan])`, then an error message is thrown: `ValueError: range parameter must be finite.` This message is somewhat confusing, because I had to open up the source code of `histogram` to see that `mn` and `mx`, which were determined from `a.min()` and `a.max()`, were NaN because of NaN's in the input data. Is it possible to change it to something like "input data contains NaN, which is not supported"? Python version: 3.6 numpy version: 1.13.3 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Problem with Vega in Webpack 5 <!-- Welcome! Before creating a new issue: * Search for relevant issues * Follow the issue reporting guidelines: https://jupyterlab.readthedocs.io/en/latest/getting_started/issue.html --> ## Description While trying to release 3.0a1, I ran into this issue: ``` Should not import the named export 'version' (reexported as 'version') from default-exporting module (only default export is available soon) @ ./node_modules/vega-embed/build/src/embed.js @ ./node_modules/@jupyterlab/vega5-extension/lib/index.js 162:28-48 @ ./build/index.out.js 108:13-52 ERROR in ./node_modules/vega/index.js + 608 modules Unexpected token (1:71) | /* harmony default export */ function __WEBPACK_MODULE_DEFAULT_EXPORT__*(values, valueof) { | if (valueof == null) { | for (let value of values) { ``` I stopped short with the Python release for now, since I only need the JS packages for the extension refactor. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the numpy/numpy codebase. Here's the problem: Docs link is outdated on PyPI https://github.com/numpy/numpy/blob/1d598997543637b9882d1663117b573210a20583/setup.py#L439 I assume we should be using a `numpy.org` link here, possibly derived from the version number? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Turning off %matplotlib inline (feature request) Apologies if I'm just missing it in the docs. Currently, (IPython v4.2) it doesn't seem possible to undo calling `%matplotlib inline` if one doesn't want to revert to an interactive backend (one can only switch between different interactive backends). The reason why I believe it is useful to sometimes switch to a non-interactive backend is a combination of: - Proliferation of using `pyplot` as the plotting interface used by libraries - Lack of end-user control over which figures get plotted if the figures are created using `pyplot.figure` If it was possible to have an IPython analog of `matplotlib.use('agg')`, the end user would always have control over which figures are plotted. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Some controlled gates have ctrl_state parameters. Some not. ### What is the current behavior? Based on https://github.com/Qiskit/qiskit-terra/issues/5098#issue-705776539 The `cx` method has `ctrl_state` while `ccx` does not have that parameter. ``` from qiskit import QuantumCircuit qc = QuantumCircuit(3) qc.cx(0, 1, ctrl_state='0') qc.ccx(0, 1, 2, ctrl_state='00') ``` ``` TypeError: ccx() got an unexpected keyword argument 'ctrl_state' ``` ### What is the expected behavior? Consistency. Either the all controlled gate should have `ctrl_state` parameter (vote with 🎉 ) or neither (vote with 🚀). Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: [RFE] add RPM macros we want to create new file called `macros.meson` in `/usr/lib/rpm/macros.d/` when installing meson into system to easy providing meson functions for RPM packagers. it should look like: ``` %__meson /usr/bin/meson %meson \ CFLAGS="${CFLAGS:-%optflags}" ; export CFLAGS ; \ CXXFLAGS="${CXXFLAGS:-%optflags}" ; export CXXFLAGS ; \ FFLAGS="${FFLAGS:-%optflags%{?_fmoddir: -I%_fmoddir}}" ; export FFLAGS ; \ FCFLAGS="${FCFLAGS:-%optflags%{?_fmoddir: -I%_fmoddir}}" ; export FCFLAGS ; \ %{?__global_ldflags:LDFLAGS="${LDFLAGS:-%__global_ldflags}" ; export LDFLAGS ;} \ %__meson \\\ --prefix=%{_prefix} \\\ --buildtype=plain ``` Then in RPM specs packagers can use ``` %build pushd rpmbuilddir %meson .. popd ``` Instead of custom crap. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Notebook print preview is not including correctly the linked images I created a test notebook with the following cell: ``` <img src="files/images/test.png"> ``` When I select the print preview the generated html does not include correctly the image. The image URL's PATH in the html is: ``` /nbconvert/html/images/test.png ``` and should be ``` /files/images/test.png ``` ## versions $ conda --version conda 3.5.5 $ ipython --version 2.1.0 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Tear httplib2 out of google-cloud I plan to tackle this soon-ish. This is so we can move to a better-maintained (or allow BYO) transport layer. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Helper function for pulse to auto align measurement It can be helpful if all schedules in an experiment have measurements that occur at the same physical time after the start of the schedule (particular for level 2 measurement). This would be a helper function that would offset schedules appropriately and add measurements/acquires automatically. Also this would enforce any constraints on minimum wait times for the measurement (e.g. to ensure enough time for the calibration schedules which are added by the hardware). <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: race conditions in profile directory creation Hi- I've been using IPython cluster for a bit now and have recently run into some race conditions when I start up multiple engines at once on a new machine. Specifically, in `IPython.core.profiledir.ProfileDir`, all the `check_*_dir` functions first check if the directory exists then create them if not. This will throw an exception if two engines are running the same code at once and try to create the directory after they both see that it doesn't exist. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: Visual Studio 2019 backend doesn't pick up c++ standard version Bug description: I use ```project('Hyra','cpp', default_options : ['cpp_std=c++17'], version : '0.01')``` in my meson build file to specify that c++17 should be used. When configuring the project (and also regenerating it) however, VS doesn't seem to care about this setting, it doesn't get applied, as you can see here (the last entry): ![image](https://user-images.githubusercontent.com/11295581/70388549-d6b13700-19b3-11ea-8126-a430cbf19435.png) I have to manually change the standard version in the UI in order to use c++ 2017 (e.g. std::variant). System Parameters * Native build * Win 10 * Python version: 3.7.0 * Meson version: 0.52.0 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: Cancelled backfill runs cannot be re-run from the backfill page ### Dagster version dagster, version 1.3.7 ### What's the issue? If a pending backfill run was cancelled, it can no longer be resubmitted from the backfill page. In the example below, I should be able to submit 4 runs, but the UI only let's me submit one. The difference is that the one run failed and the others were cancelled. #### Backfill Page ![image](https://github.com/dagster-io/dagster/assets/121573154/cc1ecd05-3196-46b7-af70-872bfb4cbd50) #### Jobs from the cancelled backfill ![image](https://github.com/dagster-io/dagster/assets/121573154/e670d27e-205e-4978-a25f-37b5cb6ebe84) ### What did you expect to happen? I should be able to submit backfills for cancelled jobs. Either with a separate checkbox or as part of the "Failed" group. ### How to reproduce? 1. Setup a simple partitioned job 2. Start a backfill, but cancel the runs it before they all complete 3. Try to backfill again, but notice that the cancelled jobs cannot be selected ### Deployment type Dagster Helm chart ### Deployment details I've seen this in local development as well as deployed via a Helm chart on EKS. ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: group.skew() removes all tasks if group input is generator ## Checklist - [X] I have included the output of ``celery -A proj report`` in the issue. (if you are not able to do this, then at least specify the Celery version affected). python 3.6.2 celery==4.1.0 amqp==2.2.1 billiard==3.5.0.3 - [X] I have verified that the issue exists against the `master` branch of Celery. As of `be55de6` ## Steps to reproduce ``` @celery.task(bind=True) def noop(task): pass ``` 1. `group = celery.group(noop.si() for i in range(10))` 2. `group.skew()` -> `group(<empty>)` 3. `group.apply_async()` or `group()` -> `<GroupResult: 66fd517e-123b-4299-8cbe-9183b3f02626 []>` ## Expected behavior ``` <GroupResult: d610c923-e939-4199-9bb7-7bc89daa2ccb [9152bd60-f815-4bbe-a407-a003db34b19d, 7fc2d0ac-72ab-48b1-9083-be0f3b50b00d, d7c0a00a-85c3-4780-88f9-23be8da6fb73, 3737944f-91a4-4886-95c6-4960ef4764a7, a8da96ea-d2c4-4876-8026-e0c24c7d508a, 83ee5316-fb2f-472b-8e94-284144f92438, 5715a751-f28d-4deb-ac15-114854570fde, bc1646bf-cec9-4740-8e74-411d7b66dcca, 337aa1f3-5606-45b2-af68-5c5527289019, f5fffb98-f2f5-4423-a656-8c1d7e93291a]> ``` ## Actual behavior ``` <GroupResult: 66fd517e-123b-4299-8cbe-9183b3f02626 []> ``` ### Notes If you `print(group)`(or something that evaluates `self.tasks`) before calling `group.skew()`, it works normally. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Building backport packages can be done inside Breeze container **Description** Currently, backport packages are built on the host, but we might easily switch to building them in the container. What would be needed: - [ ] Change the script to run using docker run and breeze image rather than locally (Similarly to docs build or generate-requirements) - [ ] Make sure MOUNT_SOURCE_DIR_FOR_STATIC_CHECKS is set to "true" and exported to mount all sources to inside the container - [ ] Make sure the packages are generated in /dist folder rather than in ${AIRFLOW_SOURCES}/dist (local dist folder should be mapped there - check that indeed it is mapped when MOUNT_SOURCE_DIR_FOR_STATIC_CHECKS is "true" - [ ] Make sure `bowler`, `wheel`, `sdist` is part of the pip-installed dependencies in the container **Use case / motivation** It's not obvious that you need some requirements (bowler, wheel, sdist) and it would be great if you do not have to set up your local virtualenv with it to make it runs. CC: @feluelle @turbaszek Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: Add `.devN` suffixes to all version numbers I propose we add `.devN` suffixes to all version numbers. This way we can accurately reflect, e.g. that `google-cloud-pubsub` depends on `google-cloud-core >= 0.28.0.dev1` rather than a released version of `google-cloud-core`. Ref: https://snarky.ca/how-i-manage-package-version-numbers/ ---- From https://github.com/GoogleCloudPlatform/google-cloud-python/issues/4186#issuecomment-336531198 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the PrefectHQ/prefect codebase. Here's the problem: Expand file-based storage option to other storage types ## Current behavior `0.12.1` added file-based storage through the use of GitHub storage. This should be expanded to all of the other current storage objects that only store pickles. ## Proposed behavior Add a kwarg to the storage interface that is something along the lines of `store_as_pickle=False` or `store_as_file=True`. Need to iron out if the storage and registration process would follow a similar pattern to the GitHub storage. i.e. would users manually upload the file to S3 or would `.build` be responsible for uploading them (similar to how `build` current uploads pickles) ## Example This could easily unlock hot reloading flows for local or cloud-based storage types. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: [make repo-consistency] weird warning This doesn't make sense: ``` You are using torch==1.13.0, but torch>=1.9.0 is required to use MCTCTModel. Please upgrade torch. ``` since: `1.13 > 1.9` - a wrong comparison function? full output: ``` $ make repo-consistency python utils/check_copies.py python utils/check_table.py python utils/check_dummies.py python utils/check_repo.py Checking all models are included. Checking all models are public. You are using torch==1.13.0, but torch>=1.9.0 is required to use MCTCTModel. Please upgrade torch. Checking all models are properly tested. Checking all objects are properly documented. [...] ``` @sgugger Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: `set_qiskit_logger()` is hard to use <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues to confirm this idea does not exist. --> ### What is the expected enhancement? A utility method `[set_qiskit_logger()]`(https://github.com/Qiskit/qiskit-terra/blob/cac7c6a2631d76ef3e811a5c943a2b9101fed240/qiskit/_logging.py#L48) exists to log qiskit-terra's execution flow. It has room for improvement, namely: - It turns on logging everywhere, thus generating a lot of noise. One should be able to specify a certain file to or module to log. - One cannot customize the LOG_LEVEL. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: SystemPackageTool is missing an add_repository() method Conan looks like it **almost** entirely handle all of our particular development environment setup, with one exception... it doesn't yet have a method for installing new repositories for system packages. If `SystemPackageTool` had an `add_repository(repositories, repo_key=None, post_update=True)` method, then my hack-crap install script could be greatly improved. For example, with `AptTool` it would issue an `apt-add-repository <repo>` command for each repository in the list, if that repository was not already found in the system repository lists. Different styles of apt repositories could be supported, as in: ```python if os_info.linux_distro == "ubuntu" and os_info.version < 16.04: installer.add_repository("ppa:jonathonf/gcc") installer.install("g++-5") installer.add_repository("deb http://opensource.wandisco.com/ubuntu trusty svn19", repo_key="http://opensource.wandisco.com/wandisco-debian.gpg") installer.install("subversion", "subversion-tools"]) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: Metrics error due to inplace operation, "computation has been modified by an inplace operation". Hey, @williamFalcon, I got a new error since I upgraded the library today. I used the accuracy metric, but got an error. ### Code sample: ``` # in lightning module def training_step(self, batch, batch_idx): x, y = batch y_hat = self(x) loss = F.cross_entropy(y_hat, y) acc = accuracy(y_hat, y) # from the functional metric classification tensorboard_logs = {'train_loss': loss} return {'loss': loss, 'log': tensorboard_logs} ``` ### Error msg: ``` RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.LongTensor [32]] is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True). ``` ### Can be *solved* using `.clone()` method. However, when I clone the `y` before feeding to the accuracy function, no error was shown. ``` acc = accuracy(y_hat, y.clone()) ```` But, it's inconvenience if user has to do it manually, isn't it? Actually, I can use the code above without `clone` before I upgrade to the latest. So, it might due to the latest update/rebase causing this error. > The same error shown for `f1_score` metric. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: A bug in circuit initialization <!--- Provide a general summary of the issue in the Title above --> Providing incorrect number of arguments. Here: https://github.com/QISKit/qiskit-sdk-py/blob/master/qiskit/extensions/quantum_initializer/_initializer.py#L103 The method `circ.initialize` only takes 2 arguments but 3 is given. (https://github.com/QISKit/qiskit-sdk-py/blob/master/qiskit/extensions/quantum_initializer/_initializer.py#L438) ## Possible Solution change that line to `self._modifiers(circ.initialize(self.param, self.arg))` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the celery/celery codebase. Here's the problem: Python 3.9 compatibility issue regarding usage of threading.Thread.isAlive <!-- Please fill this template entirely and do not erase parts of it. We reserve the right to close without a response bug reports which are incomplete. --> # Checklist <!-- To check an item on the list replace [ ] with [x]. --> - [x] I have verified that the issue exists against the `master` branch of Celery. - [ ] This has already been asked to the [discussion group](https://groups.google.com/forum/#!forum/celery-users) first. - [ ] I have read the relevant section in the [contribution guide](http://docs.celeryproject.org/en/latest/contributing.html#other-bugs) on reporting bugs. - [x] I have checked the [issues list](https://github.com/celery/celery/issues?q=is%3Aissue+label%3A%22Issue+Type%3A+Bug+Report%22+-label%3A%22Category%3A+Documentation%22) for similar or identical bug reports. - [x] I have checked the [pull requests list](https://github.com/celery/celery/pulls?q=is%3Apr+label%3A%22PR+Type%3A+Bugfix%22+-label%3A%22Category%3A+Documentation%22) for existing proposed fixes. - [x] I have checked the [commit log](https://github.com/celery/celery/commits/master) to find out if the bug was already fixed in the master branch. - [ ] I have included all related issues and possible duplicate issues in this issue (If there are none, check this box anyway). ## Mandatory Debugging Information - [x] I have verified that the issue exists against the `master` branch of Celery. ## Optional Debugging Information `isAlive` was deprecated and removed in Python 3.9 . Celery has the deprecation warning that will become error in Python 3.9 . https://travis-ci.org/celery/celery/jobs/628813003#L3262-L3263 Relevant CPython PR : https://github.com/python/cpython/pull/15225 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: rename "python" drawer to "matplot" The name options for the `circuit_drawer` are `['latex', 'latex_source', 'python', 'text']`. The output `python` is no very descriptive of the expected output. I suggest to rename it to `'matplot'`. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Log cpp_info as json in conan outputs Very regularly when creating packages, both OSS and enterprise side, a lot of time is spent troubleshooting various problems relating to package consumption. Often, the problem is a result of incorrect `package_info()` method. Very often, looking at a recipe does not make it clear what the actual values of `cpp_info` will be. This is because we have dynamic mechanisms like `tools.collect_libs()` and also now with `python_requires`, but even simple conditionals based on platform and settings can make it virtually impossible to determine what was passed during a build. Today, the only way to investigate what was actually passed is by looking at the `conanbuildinfo` files which were generated, and in docker builds, those are deleted on the fly. The request here is self-explanatory, simple to implement, and i think would be universally useful. Add a logging statement that shows exactly the values of `cpp_info`, which is really a simple dict()`. My suggestion would be to serialize it as JSON, but that's a minor detail. Printing it by default would be far too verbose. However, Conan has some special log settings already, so perhaps there could be a new log setting to control this item. For example: `CONAN_LOG_CPP_INFO` I'm pretty sure this will dramatically improve the debugging experience for users who are starting to deploy Conan in large enterprise codebases. I will probably be turning it on for all my CI builds in my company. - [x] I've read the [CONTRIBUTING guide](https://raw.githubusercontent.com/conan-io/conan/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: modules/gnome: g-ir-scanner should inherit global arguments for C lang and have option to define separate I'm using `add_global_arguments('-DAS_COMPILATION', language : 'c')` and it should be inherited in `gnome.generate_gir()` to `g-ir-scanner`, otherwise compilation fails. As additional point we can have `c_args` kwarg there. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: image comparison to CI We need a way to test image comparison in CI, because with [the current approach](https://github.com/Qiskit/qiskit-terra/pull/4544) it is very easy to introduce regressions. We [used to have this](https://github.com/Qiskit/qiskit-terra/pull/5108), but I cannot remember why we dropped it. It should be able to run the test in a CI (in an env that we can call the standard one, with a single source of truth for reference images). - [ ] `git mv test/ipynb test/visual` - [ ] Run `mpl/graph/test_graph_matplotlib_drawer.py` and `mpl/circuit/test_circuit_matplotlib_drawer.py` in CI (either GitHub Action or Azure) - [ ] create downloadable artefacts for "result" and "diff" images when there is a difference - [ ] (optional) extend coverage would be great Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [Firestore] Add list documents method to CollectionReference CollectionReference.listDocuments() is missing. This is new feature request and only available in Node, Java and Go so far. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: [AIP-31] Create PythonFunctionalOperator **Description** Operator that enables wrapping a python function and call it as a function in the DAG. - Should have` __call__` method that captures `args` and `kwargs` and sets them as `op_args` and `op_kwargs`. **Use case / motivation** Base class needed to implement functions wrapped in operators. See `Python function decorator` in [AIP-31](https://cwiki.apache.org/confluence/display/AIRFLOW/AIP-31:+Airflow+functional+DAG+definition) Example implementation: https://github.com/casassg/corrent/blob/master/corrent/operators.py **Stretch goal** - Add `copy(new_task_id:str)` method that allows you to create a new PythonFunctionOperator from the previous operator and changing the task_id. This should make it easier to reuse functional operators in a DAG without affecting the constraint of having a unique ID. - Another option is to append a number in the function if no `new_task_id` is set by looking in the DAG object for other operators with the same task_id. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: %autocall is conflicting with string literals ``` In [15]: name = 'foo' In [16]: %autocall 0 Automatic calling is: OFF In [17]: f'{name}' Out[17]: 'foo' In [18]: %autocall 1 Automatic calling is: Smart In [19]: f'{name}' -------> f('{name}') sample function with ('{name}',), {} In [20]: f '{name}' -------> f('{name}') sample function with ('{name}',), {} ``` ``` → ipython --version 5.2.2 → python --version Python 3.7.0a0 ``` %autocall is conflicting with string literals ``` In [15]: name = 'foo' In [16]: %autocall 0 Automatic calling is: OFF In [17]: f'{name}' Out[17]: 'foo' In [18]: %autocall 1 Automatic calling is: Smart In [19]: f'{name}' -------> f('{name}') sample function with ('{name}',), {} In [20]: f '{name}' -------> f('{name}') sample function with ('{name}',), {} ``` ``` → ipython --version 5.2.2 → python --version Python 3.7.0a0 ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Rearrange the gradient result according to the order of the parameters ### What should we add? Add a feature to rearrange the gradient result according to the order of the parameters. For example, in the following code, the first `gradient.run()` will return the result in the usual order `(df/da, df/db)`. The second `gradient.run()` will return the result in the given parameter order `(df/db, df/da)`. ``` # some circuit to compute gradient of estimator = Estimator() a = Parameter("a") b = Parameter("b") qc = QuantumCircuit(1) qc.rx(0.12, 0) qc.ry(a, 0) qc.rz(b, 0) gradient = ParamShiftEstimatorGradient(estimator) op = SparsePauliOp.from_list([("Z", 1)]) values = [1, 2] # use default parameter order print(gradient.run([qc], [op], [values]).result()) # give custom parameter order print(gradient.run([qc], [op], [values], parameters=[[b, a]]).result()) ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: Outdated dep does not trigger rebuild conan ver: 1.15.0 os: Ubuntu 17.04 x86_64 I have a **myapp** (executable) pkg which requires a **mylib** (static lib) pkg. 1. **mylib** has a bug fixed. The pkg is exported to the local cache. 2. I `conan create` a **myapp** pkg with `-b outdated`. 3. The **mylib** is rebuilt properly as a dependency of **myapp** since there are new sources. The **mylib** pkg id does not change since there are no changes in the settings or options. 4. **myapp** is not rebuild since the dependency's id did not change. Conan says it's `Already installed!`. I would expect that a rebuilt dependency would trigger a rebuild of any pkgs that depend upon it. Am I missing something? I don't want to bump the version of the lib after each commit or trigger the rebuild of the app manually. - [x] I've read the [CONTRIBUTING guide](https://github.com/conan-io/conan/blob/develop/.github/CONTRIBUTING.md). - [x] I've specified the Conan version, operating system version and any tool that can be relevant. - [x] I've explained the steps to reproduce the error or the motivation/use case of the question/suggestion. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the dagster-io/dagster codebase. Here's the problem: load_asset_value should accept config ### Dagster version master ### What's the issue? `load_asset_value` does not accept configuration, however it can be the case that an IOManager requires configuration ### What did you expect to happen? _No response_ ### How to reproduce? _No response_ ### Deployment type None ### Deployment details _No response_ ### Additional information _No response_ ### Message from the maintainers Impacted by this issue? Give it a 👍! We factor engagement into prioritization. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the docker/compose codebase. Here's the problem: docker-compose is lacking pids-limit Apparently pids-limit is not implemented at all, it is not mentioned neither in config_schema nor in source code. I've expected it to be on the same level as `shm_size` , is there a way to make it work or we need to create PR for it? Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Layout documentation needs to be updated <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: ### What is the current behavior? The `Layout` is a mapping used in the transpiler that takes virtual qubits (in a circuit) and maps them to physical (device) qubits. This is the mapping encoded in the dict based input to layout: ```python {(QuantumRegister(3, 'qr'), 0): 0, (QuantumRegister(3, 'qr'), 1): 1, (QuantumRegister(3, 'qr'), 2): 2} ``` where the key (index) is the vitual qubit label and the value is the target device qubit. However, the list input implements the inverse mapping from device to virtual qubits: ```python [(QuantumRegister(3, 'qr'), 0), None, (QuantumRegister(3, 'qr'), 2), (QuantumRegister(3, 'qr'), 3)] ``` As the list index (equiv to key in the dict) labels the device qubits and the value is the virtual (circuit) qubit. ### Steps to reproduce the problem ### What is the expected behavior? The `Layout` maps virtual -> physical qubits. The inputs to this class should be this mapping, not the inverse. ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: [DO NOT MERGE] Logging: order of enums only synth This PR was generated using Autosynth. :rainbow: Here's the log from Synthtool: ``` synthtool > Cloning googleapis. synthtool > Running generator for google/logging/artman_logging.yaml. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:229601142daed005bf56fbaa21a02cf7aa0b261b57677d38306f8013e536de7a Status: Image is up to date for googleapis/artman:latest synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/logging-v2. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/logging_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/logging_config_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/logging_metrics_pb2.py. synthtool > Replaced '(^.*$\\n)*' in google/cloud/logging_v2/proto/log_entry_pb2.py. synthtool > Cleaned up 0 temporary directories. ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Lightning-AI/lightning codebase. Here's the problem: More granular callbacks ## 🚀 Make callback system more granular ### Motivation I am currently implementing #765 (make progress bar into a callback) and I need additional callback methods to do this. ### Pitch introduce these new callback methods: - `on_train_batch_start` (currently named `on_batch_start`) - `on_train_batch_end` (currently named `on_batch_end`) - `on_val_batch_start` - `on_val_batch_end` - `on_test_batch_start` - `on_test_batch_end` and make `on_batch_start` run on any of the above `*_start` (same for `on_batch_end`) Further suggestions: - introduce `on_train_epoch_start`, `on_val_epoch_start`, `on_test_epoch_start` and corresponding `*_end` methods. ### Alternatives Keep as is, but I don't know how to implement the progress bar callback otherwise for validation/test updates. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Matplotlib circuit barrier and long name tests cannot be satisfied on OSX <!-- ⚠ If you do not respect this template, your issue will be closed --> <!-- ⚠ Make sure to browse the opened and closed issues --> ### Information - **Qiskit Terra version**: master - **Python version**: - **Operating system**: OSX ### What is the current behavior? The tests `test_long_name` and `test_plot_barriers` can never pass locally on OSX. I can update the reference images to those returned by my setup, but the tests still fail saying that the images are different by >0.1%. I have no idea why this is since they should be exactly the same. This was blocking #2505, until I skipped the tests given that I can never satisfy them. ![matplotlib_barriers_ref](https://user-images.githubusercontent.com/1249193/61738277-f3780580-ad57-11e9-8b0c-d55c7fe7859a.png) ![matplotlib_long_name_ref](https://user-images.githubusercontent.com/1249193/61738262-eeb35180-ad57-11e9-95f1-2eccc69b599e.png) ### Steps to reproduce the problem ### What is the expected behavior? ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the conan-io/conan codebase. Here's the problem: [bug] conan sh environment fails to generate deactivation_file on ubuntu-20.04 ### Environment Details (include every applicable attribute) * Github VM Ubuntu-20.04 * Ubuntu-20.04 * Compiler N/A * up until 1.48 * 3.10.4 ### Steps to reproduce (Include if Applicable) - Create an Virtual Run, Build or custom environment and save a script. - Activate that VirtualEnvironment activation script with `source` or `.` on a bash shell - it fails when running `echo echo Restoring environment >> "{deactivate_file}"` ### Logs (Executed commands with output) (Include/Attach if Applicable) See the output of this GitHub action: https://github.com/Ultimaker/Uranium/runs/6198574161?check_suite_focus=true The script was generated with the following python_requires https://github.com/Ultimaker/conan-ultimaker-index/blob/CURA-9177_Fix_CI_CD/recipes/PythonVirtualEnvironment/conanfile.py with this recipe: https://github.com/Ultimaker/Uranium/blob/CURA-9177_Fix_CI_CT/conanfile.py In this workflow https://github.com/Ultimaker/Uranium/blob/b9f291e0af04554ec2d584bb44bfe5c2378e5aea/.github/workflows/unit-tests.yml#L84 It works on most Linux and MacOS shells on which I use this, it just fails on the GitHub VM Ubuntu-20.04 and latest. > Note: > Putting quote marks around the `echo "echo Restoring environment" >> "{deactivate_file}"` fixes it. > This seems like a nice first PR for me for your awesome product ;-) Expect my first contribution soon Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the googleapis/google-cloud-python codebase. Here's the problem: BigQuery: Run lint and black on samples/ directory We should make sure our code samples are linted, too. I think we'll get a few flake8 errors for unused imports. Since we always want to show `from google.cloud import bigquery`, we can make those lines into comments when they are otherwise unnecessary. Also, I forget if we use the templated files for `noxfile.py`. This update may need to be made at the synthtool templates repo if so. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the ipython/ipython codebase. Here's the problem: Get the DocRepr functionality hidden behind a flag. Ping @SylvainCorlay Marking as 5.0 to not forget. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: Addition takes precedence over tensor product ### Information - **Qiskit Terra version**: 0.18.3 - **Python version**: 3.7 - **Operating system**: MacOS Catalina ### What is the current behavior? Not sure this is intended, but when working with Paulis and operators, addition seems to take precedence over tensor product ### Steps to reproduce the problem from qiskit.opflow import I, X op = I^X + X^I print(op) This outputs: 2.0 * IXI ### What is the expected behavior? I was expecting: IX + XI ### Suggested solutions Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: GNOME: add support for include dirs (gir) `g-ir-scanner`: `--add-include-path=PATH` `g-ir-compiler`: `---includedir=DIRECTORY` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Improve idempodency in CloudDataTransferServiceCreateJobOperator **Description** We should improve idempodency in [CloudDataTransferServiceCreateJobOperator](https://github.com/apache/airflow/blob/42eef38/airflow/providers/google/cloud/operators/cloud_storage_transfer_service.py#L157). If a Job ID is passed and an AlreadyExist exception raises, then the task should be successful. This issue is due to [the March 9 service update](https://cloud.google.com/storage-transfer/docs/release-notes#March_09_2020). > FEATURE: Storage Transfer Service supports custom job IDs. To complete this task you must complete the following steps: - [ ] Update the operator - [ ] Update the example DAG - [ ] Update the documentation - [ ] Run system tests (final check) If you haven't used the GCP yet, after creating the account you will [get $300](https://cloud.google.com/free), which will allow you to get to know these services better. The implementation of this task will allow a better understanding of GCP services, as well as learn methods of testing that is required by the community. If anyone is interested in this task, I am willing to provide all the necessary tips and information. **Use case / motivation** N/A **Related Issues** https://github.com/apache/airflow/issues/8284 Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the apache/airflow codebase. Here's the problem: Add `endpoint_id` arg to `vertex_ai.endpoint_service.CreateEndpointOperator` ### Description Add the optional argument `endpoint_id` to `google.cloud.operators.vertex_ai.endpoint_service.CreateEndpointOperator` class and `google.cloud.hooks.vertex_ai.endpoint_service.EndpointServiceHook.create_endpoint` method. ### Use case/motivation `google.cloud.operators.vertex_ai.endpoint_service.CreateEndpointOperator` class and `google.cloud.hooks.vertex_ai.endpoint_service.EndpointServiceHook.create_endpoint` method do not have `endpoint_id` argument. They internally use [`CreateEndpointRequest`](https://github.com/googleapis/python-aiplatform/blob/v1.11.0/google/cloud/aiplatform_v1/types/endpoint_service.py#L43), which accepts `endpoint_id`. Hence, I'd like them to accept `endpoint_id` argument and pass it to [`CreateEndpointRequest`](https://github.com/googleapis/python-aiplatform/blob/v1.11.0/google/cloud/aiplatform_v1/types/endpoint_service.py#L43). If this is satisfied, we can create Vertex Endpoints with a specific Endpoint ID. Then, an Endpoint will be created with the specified Endpoint ID. Without it, an Endpoint will be created with an ID generated randomly. ### Related issues _No response_ ### Are you willing to submit a PR? - [X] Yes I am willing to submit a PR! ### Code of Conduct - [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the Qiskit/qiskit codebase. Here's the problem: IndexError in `XXDecomposer` during `FakePrague` `transpile()` with optimization level 3 ### Environment - **Qiskit Terra version**: 0.24.0 main (@ 5672c70649b4f83a6c7146c68a6a543d4a3908fd) - **Python version**: 3.10 - **Operating system**: Linux ### What is happening? During `transpile()` with optimization level 3 on some circuits targeting `FakePrague` the 2q unitary synthesis code is raising an index error with the main branch. This code works fine on the most recent release. ### How can we reproduce the issue? ```python from qiskit.circuit import QuantumCircuit from qiskit.compiler import transpile from qiskit.providers.fake_provider import FakePrague backend = FakePrague() num_qubits = 10 # Circuit creation qc = QuantumCircuit(num_qubits) qc.h(0) for i in range(num_qubits - 1): if i % 2 == 0: qc.cy(0, i + 1) else: qc.cx(0, i + 1) qc.measure_all() tqc = transpile( qc, backend, seed_transpiler=2023, optimization_level=3 ) ``` ### What should happen? The `transpile()` shouldn't error and it should successfully run 2q synthesis and return a compiled circuit. ### Any suggestions? This is a bug that has been introduced since the 0.23.0 release (as it still works on the released version). Looking at the git log this is likely a bug that was introduced in #9175 (https://github.com/Qiskit/qiskit-terra/commit/a8f83c4469f55a62f958f3eed2df10a598811eae) Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the mesonbuild/meson codebase. Here's the problem: install_man should allow specifying compression type (or none) Various distros have their own rules for installing compressed man files. For example, gentoo uses bzip2. One should be able to specify which compression type to use, or none at all, both in the meson.build file itself or via the meson call (`meson --man-compress=[none|gzip|bzip2|...]` or the like. Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the jupyterlab/jupyterlab codebase. Here's the problem: Update usages of `open_browser` <!-- Welcome! Before creating a new issue: * Search for relevant issues * Follow the issue reporting guidelines: https://jupyterlab.readthedocs.io/en/latest/getting_started/issue.html --> ## Description Following #7416, we need to update usages of [`open_browser`](https://github.com/jupyterlab/jupyterlab/blob/499ea4669fb35deeab027ecc727f4900f0f550ae/jupyterlab/browser_check.py#L163) to use the new pattern: ``` serverapp_config = { "open_browser": False } ``` Can you help me debug this systematically and explain your reasoning?


[System] You are an expert software debugging assistant. Help debug issues by analyzing problems systematically and providing clear, step-by-step reasoning.

[User] I'm having an issue with the huggingface/transformers codebase. Here's the problem: 🌟 BigBird # 🌟 New model addition ## Model description Paper : https://arxiv.org/pdf/2007.14062.pdf Abstract : > Transformers-based models, such as BERT, have been one of the most successful deep learning models for NLP. Unfortunately, one of their core limitations is the quadratic dependency (mainly in terms of memory) on the sequence length due to their full attention mechanism. To remedy this, we propose, BigBird, a sparse attention mechanism that reduces this quadratic dependency to linear. We show that BigBird is a universal approximator of sequence functions and is Turing complete, thereby preserving these properties of the quadratic, full attention model. Along the way, our theoretical analysis reveals some of the benefits of having O(1) global tokens (such as CLS), that attend to the entire sequence as part of the sparse attention mechanism. The proposed sparse attention can handle sequences of length up to 8x of what was previously possible using similar hardware. As a consequence of the capability to handle longer context, BigBird drastically improves performance on various NLP tasks such as question answering and summarization. We also propose novel applications to genomics data. ## Open source status * [ ] the model implementation is available: *No* * [ ] the model weights are available: *No* * [ ] who are the authors: *?* Can you help me debug this systematically and explain your reasoning?